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Multi-Label Classification

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Multi-Label Classification is the supervised learning problem where an instance may be associated with multiple labels. This is an extension of single-label classification (i.e., multi-class, or binary) where each instance is only associated with a single class label.

Source: Deep Learning for Multi-label Classification

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/baidu/Senta

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SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis

https://github.com/bargenossar/flexer

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FlexER: Flexible Entity Resolution for Multiple Intents

https://github.com/barryrun/cognet

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Conditional Generation Net for Medication Recommendation

https://github.com/bcol23/HyperIM

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Hyperbolic Interaction Model For Hierarchical Multi-Label Classification

https://github.com/biasvariancelabs/aitlas-arena

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Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification

https://github.com/bicycleman15/skim

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On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification

https://github.com/bidur-khanal/mvaal-medical-images

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M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks

https://github.com/billy-inn/NFETC

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Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss

https://github.com/bioIntelligence-Lab/qumi

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Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification

https://github.com/caicch/OS-WSGIC

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Top-Down Framework for Weakly-supervised Grounded Image Captioning

https://github.com/calvin-zcx/scehr

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SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records

https://github.com/casia-iva-lab/obj2seq

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Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks

https://github.com/cdjkim/PRS

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Imbalanced Continual Learning with Partitioning Reservoir Sampling

https://github.com/cesc47/EUFCC-340K

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EUFCC-340K: A Faceted Hierarchical Dataset for Metadata Annotation in GLAM Collections

https://github.com/chehao2628/MSRN

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Multi-layered Semantic Representation Network for Multi-label Image Classification

https://github.com/chelungungun/Transferability_MLATTACK

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Attack Transferability Characterization for Adversarially Robust Multi-label Classification

https://github.com/chenhao1umbc/WSCDL

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Weakly Supervised Convolutional Dictionary Learning for Multi-Label Classification

https://github.com/chenjshnn/LabelDroid

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Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning

https://github.com/chongjie-si/homi

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Multi-label Classification with High-rank and High-order Label Correlations

https://github.com/chuangua/contrastivelossmlml

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Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels

https://github.com/cleanlab/cleanlab

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Identifying Incorrect Annotations in Multi-Label Classification Data

https://github.com/cleanlab/multilabel-error-detection-benchmarks

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Identifying Incorrect Annotations in Multi-Label Classification Data

https://github.com/coastalcph/lex-glue

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LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

https://github.com/coastalcph/lw-robust

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Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting

https://github.com/coastalcph/multi-label-classification-t5

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An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text

https://github.com/coco11563/NEEDED

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NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis

https://github.com/coldmanck/recovering-unbiased-scene-graphs

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Recovering the Unbiased Scene Graphs from the Biased Ones

https://github.com/cominsys/ExEm

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ExEm: Expert Embedding using dominating set theory with deep learning approaches

https://github.com/cpjku/cpjku_dcase24

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Improving Audio Spectrogram Transformers for Sound Event Detection Through Multi-Stage Training

https://github.com/cszmli/Rethink-RL-Sup

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Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems

https://github.com/cwangrun/CIPL

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Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation

https://github.com/cyh-0/BoMD

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BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification

https://github.com/czl0914/psy_hotline_analysis

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Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Model

https://github.com/d-lab438/hb-net

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HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition

https://github.com/dahyun-kang/ifsl

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Integrative Few-Shot Learning for Classification and Segmentation

https://github.com/dalhousieai/benthicnet_probes

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Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery

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